A Switching strategy for robust cooperative exploration

This paper develops a switching strategy for networked mobile sensing agents to automatically decide when to perform individual exploration and when to perform cooperative exploration of an unknown scalar field corrupted by time-varying non-Gaussian noises. The switching condition from individual ex...

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Hauptverfasser: Wencen Wu, Fumin Zhang
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description This paper develops a switching strategy for networked mobile sensing agents to automatically decide when to perform individual exploration and when to perform cooperative exploration of an unknown scalar field corrupted by time-varying non-Gaussian noises. The switching condition from individual exploration to cooperative exploration is based on Razumikhin theorem, and the change of the signal-to-noise ratio (SNR) serves as the switching condition from cooperative exploration to individual exploration. A cooperative H ∞ filter is proposed when the agents are collaborating. Sufficient conditions are derived for the cooperative H ∞ filter to converge. This switching strategy balances the mobility of the agents and the exploring accuracy. Simulation results demonstrate that with the switching strategy, a group of sensing agents can succeed in finding a local minimum of an unknown scalar field efficiently.
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subjects Convergence
Equations
Noise measurement
Sensors
Signal to noise ratio
Switches
title A Switching strategy for robust cooperative exploration
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